Symptom reporting in cancer patients II: relations to social desirability, negative affect, and self-reported health behaviors

Abstract

Background: Patients' appraisal of somatic symptoms is correlated with their negative affect. The authors have investigated whether social desirability is associated with patients' symptom and health behavior reporting.

Methods: One hundred fourteen surgical cancer patients who participated in either an outpatient or an inpatient follow-up care program filled out the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-C30, the New Social Desirability Scale, and a health behavior checklist.

Results: Patients' reports of somatic symptoms were correlated inversely with social desirability (r = -0.50) and positively with negative affect (r = 0.72). When objective health and demographic variables (e.g., prognosis, adjuvant therapy prior to follow-up, and gender) were entered first in hierarchical multiple regression analyses, social desirability and negative affect accounted for an additional 16% and 36% of the symptom variance, respectively. Similar results were found when global quality of life was the dependent variable. Self-reported health behaviors were explained only through the set of health and demographic variables (14%), and social desirability and negative affect did not account for additional variance. On the average, patients reported that they had a median of 4.7 (out of a list of 21) self-initiated health behaviors, and 11% of the patients admitted to having used unproven therapies.

Conclusions: Symptom reports do not give a pure picture of patients' health status, but they are strongly correlated with social desirability and negative affect. Detection of such psychologic variables is essential to understanding the dynamics of quality of life. In applied settings, quality-of-life measures should be used together with conventional criteria. As practical experience and scientific understanding grow, the relative positioning of these patient-oriented versus clinic-oriented endpoints will become clear.